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Conference Paper

MYND: Unsupervised Evaluation of Novel BCI Control Strategies on Consumer Hardware

MPS-Authors
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Hohmann,  Matthias R.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons249671

Konieczny,  Lisa
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons250236

Hackl,  Michelle
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons250238

Wirth,  Brian
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons250240

Zaman,  Talha
Central Scientific Facility Software Workshop, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Enficiaud,  Raffi
Central Scientific Facility Software Workshop, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Grosse-Wentrup,  Moritz
External Organizations;
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons84193

Schölkopf,  Bernhard
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

External Resource

https://doi.org/10.48550/arXiv.2002.11754
(Preprint)

https://doi.org/10.1145/3379337.3415844
(Publisher version)

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Citation

Hohmann, M. R., Konieczny, L., Hackl, M., Wirth, B., Zaman, T., Enficiaud, R., et al. (2020). MYND: Unsupervised Evaluation of Novel BCI Control Strategies on Consumer Hardware. In UIST '20: Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology (pp. 1071-1084). New York, NY: ACM. doi:10.1145/3379337.3415844.


Cite as: https://hdl.handle.net/21.11116/0000-000B-45DC-0
Abstract
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